| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1828 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 78.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1828 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "measured" | | 1 | "whisper" | | 2 | "silence" | | 3 | "grave" | | 4 | "flicked" | | 5 | "weight" | | 6 | "sentinel" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 171 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 171 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 190 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1818 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 1 | | matches | | 0 | "You know him, Quinn said, toe tapping a crate." |
| |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 1482 | | uniqueNames | 14 | | maxNameDensity | 1.42 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 21 | | Raven | 1 | | Nest | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 19 | | Veil | 2 | | Market | 2 | | Tube | 1 | | Camden | 1 | | Eddie | 8 | | Morris | 2 | | You | 7 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" | | 6 | "Market" | | 7 | "Eddie" | | 8 | "Morris" | | 9 | "You" |
| | places | (empty) | | globalScore | 0.791 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a matchbox with a lit ember i" | | 1 | "smelled like iron and old tunnels" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1818 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 190 | | matches | | 0 | "carry that kind" | | 1 | "get that token" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 27.55 | | std | 21.3 | | cv | 0.773 | | sampleLengths | | 0 | 58 | | 1 | 1 | | 2 | 72 | | 3 | 4 | | 4 | 8 | | 5 | 4 | | 6 | 60 | | 7 | 47 | | 8 | 12 | | 9 | 60 | | 10 | 5 | | 11 | 67 | | 12 | 39 | | 13 | 56 | | 14 | 5 | | 15 | 21 | | 16 | 27 | | 17 | 20 | | 18 | 6 | | 19 | 3 | | 20 | 56 | | 21 | 7 | | 22 | 8 | | 23 | 2 | | 24 | 22 | | 25 | 25 | | 26 | 88 | | 27 | 12 | | 28 | 19 | | 29 | 7 | | 30 | 42 | | 31 | 16 | | 32 | 22 | | 33 | 53 | | 34 | 20 | | 35 | 33 | | 36 | 18 | | 37 | 18 | | 38 | 44 | | 39 | 42 | | 40 | 7 | | 41 | 15 | | 42 | 17 | | 43 | 58 | | 44 | 9 | | 45 | 64 | | 46 | 49 | | 47 | 27 | | 48 | 41 | | 49 | 3 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 171 | | matches | | 0 | "been drilled" | | 1 | "been buried" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 279 | | matches | | |
| 22.56% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 3 | | flaggedSentences | 8 | | totalSentences | 190 | | ratio | 0.042 | | matches | | 0 | "He slid past a delivery van, shoulder grazing a dumpster; a flash of something pale at his fingers, bone-white against wet fabric." | | 1 | "That pulled the back of a memory like a hook—an unsolved photograph, a ledger, the whisper of a market that had no place on any map." | | 2 | "His reply came as a bark—not words so much as a challenge." | | 3 | "The bone token said he wasn't just petty; he belonged to something that did not keep clean hands." | | 4 | "Morris's laugh came back to her—sharp as broken glass—and then the memory vanished like smoke drawn under a door." | | 5 | "He reached into his jacket and produced a small kit—bandages folded like origami, a roll of tape, a syringe with a cap." | | 6 | "Quinn laughed—dry, sharp." | | 7 | "The seam was a mouth; the wood gave, and a staircase descended into a shaft smelling of wet stone and old metal." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1173 | | adjectiveStacks | 1 | | stackExamples | | 0 | "bone-white against wet fabric." |
| | adverbCount | 24 | | adverbRatio | 0.020460358056265986 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0025575447570332483 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 190 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 190 | | mean | 9.57 | | std | 7.09 | | cv | 0.741 | | sampleLengths | | 0 | 3 | | 1 | 8 | | 2 | 20 | | 3 | 27 | | 4 | 1 | | 5 | 7 | | 6 | 15 | | 7 | 22 | | 8 | 2 | | 9 | 26 | | 10 | 4 | | 11 | 8 | | 12 | 4 | | 13 | 12 | | 14 | 18 | | 15 | 3 | | 16 | 27 | | 17 | 9 | | 18 | 5 | | 19 | 7 | | 20 | 9 | | 21 | 17 | | 22 | 5 | | 23 | 7 | | 24 | 3 | | 25 | 7 | | 26 | 2 | | 27 | 14 | | 28 | 9 | | 29 | 8 | | 30 | 17 | | 31 | 5 | | 32 | 7 | | 33 | 15 | | 34 | 17 | | 35 | 18 | | 36 | 10 | | 37 | 12 | | 38 | 10 | | 39 | 17 | | 40 | 4 | | 41 | 20 | | 42 | 13 | | 43 | 19 | | 44 | 5 | | 45 | 8 | | 46 | 13 | | 47 | 6 | | 48 | 12 | | 49 | 9 |
| |
| 43.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3105263157894737 | | totalSentences | 190 | | uniqueOpeners | 59 | |
| 23.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 142 | | matches | | 0 | "Too young to carry that" |
| | ratio | 0.007 | |
| 76.34% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 142 | | matches | | 0 | "She moved like a soldier," | | 1 | "He slid past a delivery" | | 2 | "You're not getting away." | | 3 | "His reply came as a" | | 4 | "He darted through the green" | | 5 | "She’d read about it in" | | 6 | "He shoved the door, and" | | 7 | "He wasn't going to stop." | | 8 | "He pushed through the gap" | | 9 | "You have no authority here." | | 10 | "He leaned from behind the" | | 11 | "He looked up with the" | | 12 | "He pushed a damp curl" | | 13 | "You shouldn't be here, Tomás." | | 14 | "He smiled without humour and" | | 15 | "He had the bone token" | | 16 | "He looked between them like" | | 17 | "You know him, Quinn said," | | 18 | "She had not solved what" | | 19 | "She had kept it in" |
| | ratio | 0.359 | |
| 16.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 126 | | totalSentences | 142 | | matches | | 0 | "Rain ate sound." | | 1 | "Harlow Quinn's boots hit puddles" | | 2 | "She moved like a soldier," | | 3 | "A laugh tore from the" | | 4 | "He slid past a delivery" | | 5 | "That pulled the back of" | | 6 | "Quinn shouted his name, more" | | 7 | "You're not getting away." | | 8 | "His reply came as a" | | 9 | "He darted through the green" | | 10 | "The Raven's Nest." | | 11 | "She’d read about it in" | | 12 | "He shoved the door, and" | | 13 | "Maps curled in their frames." | | 14 | "Someone moved behind the bar," | | 15 | "A bookshelf at the back" | | 16 | "He wasn't going to stop." | | 17 | "He pushed through the gap" | | 18 | "Quinn didn't hesitate." | | 19 | "Rain plastered her hair to" |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 142 | | matches | (empty) | | ratio | 0 | |
| 80.20% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 5 | | matches | | 0 | "The room smelled of old paper and stale ale, with a metallic undertone that tightened her jaw." | | 1 | "He looked up with the defiant slant of someone who had given up the pretense of innocence." | | 2 | "A scar ran along his left forearm, pale against olive skin, a white river that travelled under his sleeve." | | 3 | "The air shifted around him, part man who would stitch you up for the NHS, part man who kept secrets under his hands." | | 4 | "It was cold and rough and held the smell of something that had been buried far too long." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 2 | | fancyTags | | 0 | "Tomás looked (look)" | | 1 | "Tomás warned (warn)" |
| | dialogueSentences | 34 | | tagDensity | 0.441 | | leniency | 0.882 | | rawRatio | 0.133 | | effectiveRatio | 0.118 | |